Marine Boundary Layer Cloud Feedbacks in a Constant Relative Humidity Atmosphere

By M. Rieck, L. Nuijens, Bjorn Stevens. 2012

177 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/b55962b1febdd9990790e05db28d9a4a210c9416

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Citations in the corpus

The Dependence of Global Cloud and Lapse Rate Feedbacks on the Spatial Structure of Tropical Pacific Warming (2018, background): “First, note that marine low cloud changes are well described by reductions in low cloud fraction in response to local SST increases (e.g., Rieck et al. 2012;Webb andLock 2013; Qu et al. 2014; Brient et al. 2016; Bretherton 2015) and increases in low cloud fraction in response to increases in…”
Mixed‐phase cloud physics and Southern Ocean cloud feedback in climate models (2015, background): “Each of these should act to decrease cloud fraction as the climate warms [Blossey et al., 2013; Bretherton and Blossey, 2014; Bretherton et al., 2013; Mitchell et al., 1989; Rieck et al., 2012; Tsushima et al., 2006; Wetherald and Manabe, 1988].”
Cloud feedback mechanisms and their representation in global climate models (2017, unknown): “While the moist adiabatic mechanism should still contribute to LWP increases with warming, LES modeling of warm boundary-layer clouds (in which phase change processes play no role) suggests that optical depth changes are small relative to the effects of drying and deepening of the boundary layer wit”
Emergent Constraints for Cloud Feedbacks (2015, unknown): “Specifically, with the increased turbulent vertical flux of water within the boundary layer in a warmer climate, less cloud is needed to produce a given amount of mixing across the inversion (all under conditions of no large EIS increases) [5, 7, 31].”
Low-Cloud Feedbacks from Cloud-Controlling Factors: A Review (2017, background): “One approach is to use large-eddy simulations that resolve low-cloud processes to predict the low-cloud changes forced by the climate changes in the environment (Rieck et al. 2012; Zhang et al. 2012; Blossey et al. 2013; Bretherton 2015).”
Clouds, circulation and climate sensitivity (2015, background): “…contributions to inter-model spread in climate sensitivity, appear to be driven largely by mixing of the lower troposphere by shallow convection 2,15–17 ; in a warmer climate these processes are expected to dry the marine boundary layer over the vast expanse of the tropical oceans, reducing the…”
The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6. (2016, background): “…Zelinka et al., 2013), (c) the processes and mechanisms which are (and are not) implicated in cloud feedbacks, both in fine-resolution models (e.g. Rieck et al., 2012; Bretherton et al., 2015) and in comprehensive climate models (e.g. Brient and Bony, 2012; Sherwood et al., 2014; Zhao, 2014; Webb…”
Uncertainty in Model Climate Sensitivity Traced to Representations of Cumulus Precipitation Microphysics (2016, background): “The fundamental picture behind Sherwood et al. (2014) is that an increase of upward transport of moisture near the top of the boundary layer over the convective regions should result in decrease of low clouds because of dehydration of the boundary layer (Rieck et al. 2012).”